👋 Hello! my name is

Raj Chhatbar.

Software Development Engineer @Amazon

I am a software development engineer based in Seattle Washington, specializing in building full-stack cloud-based solutions.

Resume

About Me

  Introduction

Hello! I'm Raj, a software Engineer based in Seattle, WA.

There are no secrets to success. It's the result of preparation, hard work, and learning from failure. I enjoy creating, innovating, and testing new ideas; eventually, some have worked out. However, for me, the experience is the true wisdom

  Language
JAVA

Proficient

Python(sync and async)

Proficient

JavaScript

Proficient

TypeScript

Advanced

SQL

Advanced

C/C++

Advanced

GO

Elementary

  Technologies
Frameworks
Spring/GuiceJUnitKibanaDjangoReactGatsbyDjango-ChannelsExpress-JSFlaskNext-jsJitsi-WebRTCReduxPySparkPyTorchTensorFlowCelerySpring/Guice
Databases
PostgreSQLMongoDBDynamoDBFirebase (Cloud Firestore and Realtime)Redis
Tools
DockerKubernetesGit & GitHubOAuthUnix/BashAWS (EC2, S3, Lambda, Kinesis, Step Functions, Cloudwatch)GCPKubernetesRESTGraphQLSSHTelnetgrep
  Education
California State University, Fullerton

Masters of Science - Computer Science

August 2018 - May 2021

GLS University

Post Graduate Diploma - Computer Science

March 2017 - March 2018

St. Xavier's College, Ahmedabad

Bachlors of Science - Physics

June 2014 - March 2017

  My Interests
Can’t live without
  • google/youtube(funny yeah but learned a lot from it)
  • Dark Chocolates
  • Indian Food

My Experience

Software Development Engineer

Amazon.com, Inc. and its affiliates and subsidiaries.

August 2021 - Present
  • Successfully developed and integrated services with third-party sellers, making financial offers eligible for third-party products and leading to a remarkable 30% increase in business Gross Merchandise Sales (GMS).
  • Led a successful migration of the Service Provider Interface (SPI) to ensure consistent data sharing across services, resulting in a remarkable improvement of overall system cohesion by 50%.
  • Enhanced integrations with other services by evaluating and collFeMaboratively addressing each edge case with upstream clients, ensuring the provision of accurate financial offers to customers during single-page checkout. This initiative resulted in a substantial 25% reduction in the manual reconciliation process.
  • Collaborated on the resolution of failing integration tests and contributed to the optimization of the CICD pipeline for seamless automatic code deployment, resulting in a significant 25% reduction in manual deployment time, equivalent to saving 8 SDE hours weekly.
  • Built and fixed the data pipeline in close collaboration with data engineers to generate financial offer usage reporting, resulting in a substantial 15% increase in the business's ability to identify customer trends for different products.
  • Led initiatives to enhance Tier-1 development environment availability, resulting in an impressive 80% increase in uptime and accessibility by identifying and resolving 'maxConnectionPerHost' issues.
  • Developed and enhanced the reliability of internal dashboards by systematically addressing front-end issues related to forms, implementing robust API exception handling, and mitigating race conditions to ensure seamless performance.
  • Implemented scripts for data backfilling and addressing ad-hoc data requests, resulting in streamlined operations and a significant reduction in the number of services required, achieving an efficiency improvement of approximately 20%.
  • Implemented and integrated shadow mode testing to mitigate the risk of customer-impacting issues, ensuring a smoother and more reliable user experience.
  • Enhanced internal search integration, achieving a 20% improvement in performance of widgets
    https://www.amazon.com/pcb

Projects I’ve have worked on

IMDB movie review data's sentiment analysis

Python, XGBoost, RNN

Code

  • Devised a sentiment analysis model to find out movie review sentiment by utilizing XGBoost & deep learning RNN's on Amazon sage maker and deployed it over AWS

Code

Virtual memory manager in operating system

C++, Singleton design, OOP, Page replacement algorithm
  • Implemented a virtual memory management system, included support for paging, Virtual Memory and page replacement to and from the backing store by utilizing LRU and FIFO page replacement algorithm

Text search using Docker and Elastic Search

NodeJS, Docker, Elastic search, ReactJS, Nginx

Code

  • Populated Elasticsearch with 100 books (230,000 paragraphs) to prepare a search API by leveraging Nginx and NodeJS backend client along with ReactJS as frontend client

Code

Real-Time Taxi App with Django Channels and React

Django- Channels, Redis, PY-test, ReactJS, Nginx
  • Used asynchronous Django-channels to create WebSocket hooked with React-JS to visualize the current location using Google Maps. Leveraged Cypress for creating end-to-end testing

Blogs

FEBRUARY 2, 2021

Today we all know that infinite scroll has become like a standard practice in most websites as from the user’s perspective, it is easy and friction-less, which indirectly helps companies increase...

React-js
Infinite-Scroll
Hooks
Debounce
Throttling

JANUARY 24, 2021

Frequently we have come across the question of whether we should serve static files with Django or with some cloud-based storage solutions. However, when the system tends to scale, serving static...

Django
REST Framework
AWS S3
Get In Touch

Actively looking for new opportunities, my inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!

Say Hello!